ºÝºÝߣshows by User: aureliengeron / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: aureliengeron / Sat, 09 Jun 2018 17:19:46 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: aureliengeron Knowledge graphs for search & discovery /slideshow/knowledge-graphs-for-search-amp-discovery-101596477/101596477 knowledgegraphsforsearchdiscovery-180609171946
ºÝºÝߣs for my talk at the DotAI conference in Paris on May 31st 2018. I'll add the link to the video as soon as it is uploaded.]]>
ºÝºÝߣs for my talk at the DotAI conference in Paris on May 31st 2018. I'll add the link to the video as soon as it is uploaded.]]> Sat, 09 Jun 2018 17:19:46 GMT /slideshow/knowledge-graphs-for-search-amp-discovery-101596477/101596477 aureliengeron@slideshare.net(aureliengeron) Knowledge graphs for search & discovery aureliengeron ºÝºÝߣs for my talk at the DotAI conference in Paris on May 31st 2018. I'll add the link to the video as soon as it is uploaded. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/knowledgegraphsforsearchdiscovery-180609171946-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ºÝºÝߣs for my talk at the DotAI conference in Paris on May 31st 2018. I&#39;ll add the link to the video as soon as it is uploaded.
Knowledge graphs for search & discovery from Aur辿lien G辿ron
]]> 1824 9 https://cdn.slidesharecdn.com/ss_thumbnails/knowledgegraphsforsearchdiscovery-180609171946-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Réseaux de capsules (CapsNets) https://fr.slideshare.net/slideshow/rseaux-de-capsules-capsnets/92477730 capsnetsfr-180331120729
Les CapsNets sont une nouvelle architecture de réseaux de neurones, inventée par Geoffrey Hinton, l'un des pères du Deep Learning. Cette vidéo est la traduction française de cette vidéo: https://youtu.be/pPN8d0E3900 Article NIPS 2017: * Dynamic Routing Between Capsules, * de Sara Sabour, Nicholas Frosst, Geoffrey E. Hinton * https://arxiv.org/abs/1710.09829 L'article de 2011: * Transforming Autoencoders * de Geoffrey E. Hinton, Alex Krizhevsky and Sida D. Wang * https://goo.gl/ARSWM6 L'article de 2018 (ICLR 2018): * Matrix capsules with EM routing * de Geoffrey E. Hinton, Sara Sabour, Nicholas Frosst * https://openreview.net/pdf?id=HJWLfGWRb Implémentations d'un CapsNet: * Mon implémentation TensorFlow (dans un notebook Jupyter): https://github.com/ageron/handson-ml/... Cette implémentation est présentée (en anglais) dans ma vidéo: https://youtu.be/2Kawrd5szHE * Keras w/ TensorFlow: https://github.com/XifengGuo/CapsNet-... * TensorFlow: https://github.com/naturomics/CapsNet... * PyTorch: https://github.com/gram-ai/capsule-ne... Livres: * Machine Learning avec Scikit-Learn, Dunod 2017: https://goo.gl/sGsR6C (amazon.fr) ou https://goo.gl/aDTu6N (dunod.com) * Deep Learning avec TensorFlow, Dunod 2017: https://goo.gl/aRXYHj (amazon.fr) ou https://goo.gl/aDTu6N (dunod.com) * Hands-On Machine with Scikit-Learn and TensorFlow, O'Reilly, 2017: https://goo.gl/mTikJM (amazon.fr) Github: https://github.com/ageron Twitter: https://twitter.com/aureliengeron ]]>
Les CapsNets sont une nouvelle architecture de réseaux de neurones, inventée par Geoffrey Hinton, l'un des pères du Deep Learning. Cette vidéo est la traduction française de cette vidéo: https://youtu.be/pPN8d0E3900 Article NIPS 2017: * Dynamic Routing Between Capsules, * de Sara Sabour, Nicholas Frosst, Geoffrey E. Hinton * https://arxiv.org/abs/1710.09829 L'article de 2011: * Transforming Autoencoders * de Geoffrey E. Hinton, Alex Krizhevsky and Sida D. Wang * https://goo.gl/ARSWM6 L'article de 2018 (ICLR 2018): * Matrix capsules with EM routing * de Geoffrey E. Hinton, Sara Sabour, Nicholas Frosst * https://openreview.net/pdf?id=HJWLfGWRb Implémentations d'un CapsNet: * Mon implémentation TensorFlow (dans un notebook Jupyter): https://github.com/ageron/handson-ml/... Cette implémentation est présentée (en anglais) dans ma vidéo: https://youtu.be/2Kawrd5szHE * Keras w/ TensorFlow: https://github.com/XifengGuo/CapsNet-... * TensorFlow: https://github.com/naturomics/CapsNet... * PyTorch: https://github.com/gram-ai/capsule-ne... Livres: * Machine Learning avec Scikit-Learn, Dunod 2017: https://goo.gl/sGsR6C (amazon.fr) ou https://goo.gl/aDTu6N (dunod.com) * Deep Learning avec TensorFlow, Dunod 2017: https://goo.gl/aRXYHj (amazon.fr) ou https://goo.gl/aDTu6N (dunod.com) * Hands-On Machine with Scikit-Learn and TensorFlow, O'Reilly, 2017: https://goo.gl/mTikJM (amazon.fr) Github: https://github.com/ageron Twitter: https://twitter.com/aureliengeron ]]> Sat, 31 Mar 2018 12:07:29 GMT https://fr.slideshare.net/slideshow/rseaux-de-capsules-capsnets/92477730 aureliengeron@slideshare.net(aureliengeron) Réseaux de capsules (CapsNets) aureliengeron Les CapsNets sont une nouvelle architecture de réseaux de neurones, inventée par Geoffrey Hinton, l'un des pères du Deep Learning. Cette vidéo est la traduction française de cette vidéo: https://youtu.be/pPN8d0E3900 Article NIPS 2017: * Dynamic Routing Between Capsules, * de Sara Sabour, Nicholas Frosst, Geoffrey E. Hinton * https://arxiv.org/abs/1710.09829 L'article de 2011: * Transforming Autoencoders * de Geoffrey E. Hinton, Alex Krizhevsky and Sida D. Wang * https://goo.gl/ARSWM6 L'article de 2018 (ICLR 2018): * Matrix capsules with EM routing * de Geoffrey E. Hinton, Sara Sabour, Nicholas Frosst * https://openreview.net/pdf?id=HJWLfGWRb Implémentations d'un CapsNet: * Mon implémentation TensorFlow (dans un notebook Jupyter): https://github.com/ageron/handson-ml/... Cette implémentation est présentée (en anglais) dans ma vidéo: https://youtu.be/2Kawrd5szHE * Keras w/ TensorFlow: https://github.com/XifengGuo/CapsNet-... * TensorFlow: https://github.com/naturomics/CapsNet... * PyTorch: https://github.com/gram-ai/capsule-ne... Livres: * Machine Learning avec Scikit-Learn, Dunod 2017: https://goo.gl/sGsR6C (amazon.fr) ou https://goo.gl/aDTu6N (dunod.com) * Deep Learning avec TensorFlow, Dunod 2017: https://goo.gl/aRXYHj (amazon.fr) ou https://goo.gl/aDTu6N (dunod.com) * Hands-On Machine with Scikit-Learn and TensorFlow, O'Reilly, 2017: https://goo.gl/mTikJM (amazon.fr) Github: https://github.com/ageron Twitter: https://twitter.com/aureliengeron <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/capsnetsfr-180331120729-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Les CapsNets sont une nouvelle architecture de réseaux de neurones, inventée par Geoffrey Hinton, l&#39;un des pères du Deep Learning. Cette vidéo est la traduction française de cette vidéo: https://youtu.be/pPN8d0E3900 Article NIPS 2017: * Dynamic Routing Between Capsules, * de Sara Sabour, Nicholas Frosst, Geoffrey E. Hinton * https://arxiv.org/abs/1710.09829 L&#39;article de 2011: * Transforming Autoencoders * de Geoffrey E. Hinton, Alex Krizhevsky and Sida D. Wang * https://goo.gl/ARSWM6 L&#39;article de 2018 (ICLR 2018): * Matrix capsules with EM routing * de Geoffrey E. Hinton, Sara Sabour, Nicholas Frosst * https://openreview.net/pdf?id=HJWLfGWRb Implémentations d&#39;un CapsNet: * Mon implémentation TensorFlow (dans un notebook Jupyter): https://github.com/ageron/handson-ml/... Cette implémentation est présentée (en anglais) dans ma vidéo: https://youtu.be/2Kawrd5szHE * Keras w/ TensorFlow: https://github.com/XifengGuo/CapsNet-... * TensorFlow: https://github.com/naturomics/CapsNet... * PyTorch: https://github.com/gram-ai/capsule-ne... Livres: * Machine Learning avec Scikit-Learn, Dunod 2017: https://goo.gl/sGsR6C (amazon.fr) ou https://goo.gl/aDTu6N (dunod.com) * Deep Learning avec TensorFlow, Dunod 2017: https://goo.gl/aRXYHj (amazon.fr) ou https://goo.gl/aDTu6N (dunod.com) * Hands-On Machine with Scikit-Learn and TensorFlow, O&#39;Reilly, 2017: https://goo.gl/mTikJM (amazon.fr) Github: https://github.com/ageron Twitter: https://twitter.com/aureliengeron
from Aur辿lien G辿ron
]]> 721 3 https://cdn.slidesharecdn.com/ss_thumbnails/capsnetsfr-180331120729-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Synthetic Gradients Tutorial /slideshow/synthetic-gradients-tutorial/85293577 syntheticgradients-171229160039
Synthetic Gradients were introduced in 2016 by Max Jaderberg and other researchers at DeepMind. They are designed to replace backpropagation, and they can make all sorts of deep neural networks much faster to train, and even perform better. Moreover, they can allow Recurrent Neural Networks to learn long term patterns in the data. Papers: - Decoupled Neural Interfaces using Synthetic Gradients, Max Jaderberg et al., 2016: https://arxiv.org/abs/1608.05343 - Understanding Synthetic Gradients and Decoupled Neural Interfaces, Wojciech Marian Czarnecki et al., 2017: https://arxiv.org/abs/1703.00522 Blog posts: - By Max Jaderberg, DeepMind: https://deepmind.com/blog/decoupled-neural-networks-using-synthetic-gradients/ - By iamtrask: https://iamtrask.github.io/2017/03/21/synthetic-gradients/ Implementations: - DNI-TensorFlow by Andrew Liao: https://github.com/vyraun/DNI-tensorflow - Jupyter Notebook with TensorFlow by Nitarshan Rajkumar: https://github.com/nitarshan/decoupled-neural-interfaces/ - DNI.PyTorch by Andrew Liao: https://github.com/andrewliao11/dni.pytorch/ The painting on the first slide is by Annie Clavel, a great French artist currently living in Los Angeles. Visit her website: http://www.annieclavel.com/.]]>
Synthetic Gradients were introduced in 2016 by Max Jaderberg and other researchers at DeepMind. They are designed to replace backpropagation, and they can make all sorts of deep neural networks much faster to train, and even perform better. Moreover, they can allow Recurrent Neural Networks to learn long term patterns in the data. Papers: - Decoupled Neural Interfaces using Synthetic Gradients, Max Jaderberg et al., 2016: https://arxiv.org/abs/1608.05343 - Understanding Synthetic Gradients and Decoupled Neural Interfaces, Wojciech Marian Czarnecki et al., 2017: https://arxiv.org/abs/1703.00522 Blog posts: - By Max Jaderberg, DeepMind: https://deepmind.com/blog/decoupled-neural-networks-using-synthetic-gradients/ - By iamtrask: https://iamtrask.github.io/2017/03/21/synthetic-gradients/ Implementations: - DNI-TensorFlow by Andrew Liao: https://github.com/vyraun/DNI-tensorflow - Jupyter Notebook with TensorFlow by Nitarshan Rajkumar: https://github.com/nitarshan/decoupled-neural-interfaces/ - DNI.PyTorch by Andrew Liao: https://github.com/andrewliao11/dni.pytorch/ The painting on the first slide is by Annie Clavel, a great French artist currently living in Los Angeles. Visit her website: http://www.annieclavel.com/.]]> Fri, 29 Dec 2017 16:00:39 GMT /slideshow/synthetic-gradients-tutorial/85293577 aureliengeron@slideshare.net(aureliengeron) Synthetic Gradients Tutorial aureliengeron Synthetic Gradients were introduced in 2016 by Max Jaderberg and other researchers at DeepMind. They are designed to replace backpropagation, and they can make all sorts of deep neural networks much faster to train, and even perform better. Moreover, they can allow Recurrent Neural Networks to learn long term patterns in the data. Papers: - Decoupled Neural Interfaces using Synthetic Gradients, Max Jaderberg et al., 2016: https://arxiv.org/abs/1608.05343 - Understanding Synthetic Gradients and Decoupled Neural Interfaces, Wojciech Marian Czarnecki et al., 2017: https://arxiv.org/abs/1703.00522 Blog posts: - By Max Jaderberg, DeepMind: https://deepmind.com/blog/decoupled-neural-networks-using-synthetic-gradients/ - By iamtrask: https://iamtrask.github.io/2017/03/21/synthetic-gradients/ Implementations: - DNI-TensorFlow by Andrew Liao: https://github.com/vyraun/DNI-tensorflow - Jupyter Notebook with TensorFlow by Nitarshan Rajkumar: https://github.com/nitarshan/decoupled-neural-interfaces/ - DNI.PyTorch by Andrew Liao: https://github.com/andrewliao11/dni.pytorch/ The painting on the first slide is by Annie Clavel, a great French artist currently living in Los Angeles. Visit her website: http://www.annieclavel.com/. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/syntheticgradients-171229160039-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Synthetic Gradients were introduced in 2016 by Max Jaderberg and other researchers at DeepMind. They are designed to replace backpropagation, and they can make all sorts of deep neural networks much faster to train, and even perform better. Moreover, they can allow Recurrent Neural Networks to learn long term patterns in the data. Papers: - Decoupled Neural Interfaces using Synthetic Gradients, Max Jaderberg et al., 2016: https://arxiv.org/abs/1608.05343 - Understanding Synthetic Gradients and Decoupled Neural Interfaces, Wojciech Marian Czarnecki et al., 2017: https://arxiv.org/abs/1703.00522 Blog posts: - By Max Jaderberg, DeepMind: https://deepmind.com/blog/decoupled-neural-networks-using-synthetic-gradients/ - By iamtrask: https://iamtrask.github.io/2017/03/21/synthetic-gradients/ Implementations: - DNI-TensorFlow by Andrew Liao: https://github.com/vyraun/DNI-tensorflow - Jupyter Notebook with TensorFlow by Nitarshan Rajkumar: https://github.com/nitarshan/decoupled-neural-interfaces/ - DNI.PyTorch by Andrew Liao: https://github.com/andrewliao11/dni.pytorch/ The painting on the first slide is by Annie Clavel, a great French artist currently living in Los Angeles. Visit her website: http://www.annieclavel.com/.
Synthetic Gradients Tutorial from Aur辿lien G辿ron
]]> 856 1 https://cdn.slidesharecdn.com/ss_thumbnails/syntheticgradients-171229160039-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 How To Implement CapsNets using TensorFlow /slideshow/how-to-implement-capsnets-using-tensorflow/83061523 capsnetimplementation-171130154530
This presentation will show you how to implement a Capsule Network in TensorFlow. You will learn more about CapsNets, as well as tips & tricks on using TensorFlow more efficiently. Hope you like it!]]>
This presentation will show you how to implement a Capsule Network in TensorFlow. You will learn more about CapsNets, as well as tips & tricks on using TensorFlow more efficiently. Hope you like it!]]> Thu, 30 Nov 2017 15:45:30 GMT /slideshow/how-to-implement-capsnets-using-tensorflow/83061523 aureliengeron@slideshare.net(aureliengeron) How To Implement CapsNets using TensorFlow aureliengeron This presentation will show you how to implement a Capsule Network in TensorFlow. You will learn more about CapsNets, as well as tips & tricks on using TensorFlow more efficiently. Hope you like it! <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/capsnetimplementation-171130154530-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This presentation will show you how to implement a Capsule Network in TensorFlow. You will learn more about CapsNets, as well as tips &amp; tricks on using TensorFlow more efficiently. Hope you like it!
How To Implement CapsNets using TensorFlow from Aur辿lien G辿ron
]]> 1565 5 https://cdn.slidesharecdn.com/ss_thumbnails/capsnetimplementation-171130154530-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Introduction to Capsule Networks (CapsNets) /slideshow/introduction-to-capsule-networks-capsnets/82511760 capsnets-171122121800
CapsNets are a hot new architecture for neural networks, invented by Geoffrey Hinton, one of the godfathers of deep learning. You can view this presentation on YouTube at: https://youtu.be/pPN8d0E3900 NIPS 2017 Paper: * Dynamic Routing Between Capsules, * by Sara Sabour, Nicholas Frosst, Geoffrey E. Hinton * https://arxiv.org/abs/1710.09829 The 2011 paper: * Transforming Autoencoders * by Geoffrey E. Hinton, Alex Krizhevsky and Sida D. Wang * https://goo.gl/ARSWM6 CapsNet implementations: * Keras w/ TensorFlow backend: https://github.com/XifengGuo/CapsNet-Keras * TensorFlow: https://github.com/naturomics/CapsNet-Tensorflow * PyTorch: https://github.com/gram-ai/capsule-networks Book: Hands-On Machine with Scikit-Learn and TensorFlow O'Reilly, 2017 Amazon: https://goo.gl/IoWYKD Github: https://github.com/ageron Twitter: https://twitter.com/aureliengeron]]>
CapsNets are a hot new architecture for neural networks, invented by Geoffrey Hinton, one of the godfathers of deep learning. You can view this presentation on YouTube at: https://youtu.be/pPN8d0E3900 NIPS 2017 Paper: * Dynamic Routing Between Capsules, * by Sara Sabour, Nicholas Frosst, Geoffrey E. Hinton * https://arxiv.org/abs/1710.09829 The 2011 paper: * Transforming Autoencoders * by Geoffrey E. Hinton, Alex Krizhevsky and Sida D. Wang * https://goo.gl/ARSWM6 CapsNet implementations: * Keras w/ TensorFlow backend: https://github.com/XifengGuo/CapsNet-Keras * TensorFlow: https://github.com/naturomics/CapsNet-Tensorflow * PyTorch: https://github.com/gram-ai/capsule-networks Book: Hands-On Machine with Scikit-Learn and TensorFlow O'Reilly, 2017 Amazon: https://goo.gl/IoWYKD Github: https://github.com/ageron Twitter: https://twitter.com/aureliengeron]]> Wed, 22 Nov 2017 12:18:00 GMT /slideshow/introduction-to-capsule-networks-capsnets/82511760 aureliengeron@slideshare.net(aureliengeron) Introduction to Capsule Networks (CapsNets) aureliengeron CapsNets are a hot new architecture for neural networks, invented by Geoffrey Hinton, one of the godfathers of deep learning. You can view this presentation on YouTube at: https://youtu.be/pPN8d0E3900 NIPS 2017 Paper: * Dynamic Routing Between Capsules, * by Sara Sabour, Nicholas Frosst, Geoffrey E. Hinton * https://arxiv.org/abs/1710.09829 The 2011 paper: * Transforming Autoencoders * by Geoffrey E. Hinton, Alex Krizhevsky and Sida D. Wang * https://goo.gl/ARSWM6 CapsNet implementations: * Keras w/ TensorFlow backend: https://github.com/XifengGuo/CapsNet-Keras * TensorFlow: https://github.com/naturomics/CapsNet-Tensorflow * PyTorch: https://github.com/gram-ai/capsule-networks Book: Hands-On Machine with Scikit-Learn and TensorFlow O'Reilly, 2017 Amazon: https://goo.gl/IoWYKD Github: https://github.com/ageron Twitter: https://twitter.com/aureliengeron <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/capsnets-171122121800-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> CapsNets are a hot new architecture for neural networks, invented by Geoffrey Hinton, one of the godfathers of deep learning. You can view this presentation on YouTube at: https://youtu.be/pPN8d0E3900 NIPS 2017 Paper: * Dynamic Routing Between Capsules, * by Sara Sabour, Nicholas Frosst, Geoffrey E. Hinton * https://arxiv.org/abs/1710.09829 The 2011 paper: * Transforming Autoencoders * by Geoffrey E. Hinton, Alex Krizhevsky and Sida D. Wang * https://goo.gl/ARSWM6 CapsNet implementations: * Keras w/ TensorFlow backend: https://github.com/XifengGuo/CapsNet-Keras * TensorFlow: https://github.com/naturomics/CapsNet-Tensorflow * PyTorch: https://github.com/gram-ai/capsule-networks Book: Hands-On Machine with Scikit-Learn and TensorFlow O&#39;Reilly, 2017 Amazon: https://goo.gl/IoWYKD Github: https://github.com/ageron Twitter: https://twitter.com/aureliengeron
Introduction to Capsule Networks (CapsNets) from Aur辿lien G辿ron
]]> 10956 25 https://cdn.slidesharecdn.com/ss_thumbnails/capsnets-171122121800-thumbnail.jpg?width=120&height=120&fit=bounds presentation White http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-aureliengeron-48x48.jpg?cb=1590877655 https://cdn.slidesharecdn.com/ss_thumbnails/knowledgegraphsforsearchdiscovery-180609171946-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/knowledge-graphs-for-search-amp-discovery-101596477/101596477 Knowledge graphs for s... https://cdn.slidesharecdn.com/ss_thumbnails/capsnetsfr-180331120729-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/rseaux-de-capsules-capsnets/92477730 Réseaux de capsules (C... https://cdn.slidesharecdn.com/ss_thumbnails/syntheticgradients-171229160039-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/synthetic-gradients-tutorial/85293577 Synthetic Gradients Tu...